The 2nd Summer Institute in Statistics for Big Data (SISBID 2016) will be held at the University of Washington in Seattle, Washington during July 11-29, 2016. The Institute consists of a series of two-and-a-half day workshops (modules) designed to introduce biologists, quantitative scientists, and statisticians to modern statistical techniques for the analysis of Biological Big Data. The format will involve formal lectures, computing labs, and hands-on case studies. The instructors are world-class faculty with expertise in all aspects of Biological Big Data. Participants are encouraged to enroll in multiple modules.

2016 Modules

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SISBID
Module 1
Big Data Wrangling with R
  • Meeting Times
    Mon, Jul 11, 8:30am - Wed, Jul 13, 12pm PST
BD1601: Big Data Wrangling with R
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SISBID
Module 2
Visualization of Biomedical Big Data
  • Meeting Times
    Wed, Jul 13, 1:30pm - Fri, Jul 15, 5pm PST
BD1602: Visualization of Biomedical Big Data
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SISBID
Module 3
Reproducible Research for Biomedical Big Data
  • Meeting Times
    Mon, Jul 18, 8:30am - Wed, Jul 20, 12pm PST
BD1603: Reproducible Research for Biomedical Big Data
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SISBID
Module 4
Supervised Methods for Statistical Machine Learning
  • Meeting Times
    Wed, Jul 20, 1:30pm - Fri, Jul 22, 5pm PST
BD1604: Supervised Methods for Statistical Machine Learning
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SISBID
Module 5
Unsupervised Methods for Statistical Machine Learning
  • Meeting Times
    Mon, Jul 25, 8:30am - Wed, Jul 27, 12pm PST
BD1605: Unsupervised Methods for Statistical Machine Learning